We present preliminary results of using physical features of a user's sketching style, such as pen tilt and pressure, to identify a user from their sketched strokes.
In hand-sketched drawings, nearly identical strokes may have different meanings to a user. For instance, a scribble could signify either that a shape should be filled in or that i...
In this paper we propose a method to retrieve sketches stored in the form of multiple strokes, by extracting the shape information for each stroke and by considering the spatial r...
Freehand sketching is a natural and powerful means of interpersonal communication. But to date, it still cannot be supported effectively by human-computer interface. In this paper...
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...